Description

 It propose a more flexible privacy model called(n,t)closeness that offer higher utility.  The desitrate for designing a distance measure between two probability distributions and present two distance measures.  Identity disclosure often leads to attribute disclosure.  Once there is identity disclosure, an individual is reidentified and the corresponding sensitive value is revealed. Attribute disclosure occurs when new information about some individuals is revealed, i.e., the released data make it possible to infer the characteristics of an individual more accurately than it would be possible before the data release.  Proposed System  Mainly it has an two process they are: A base model called t-closeness and more flexible privacy model(n,t) closeness and it achieves a better balance between privacy and utility.  And (n,t)closeness allows us to take advantages of anonymization techniques other then an generalization of quasi-identifier and suppression of records.